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The Variational Bayes Method In Signal P
Smidl, Vaclav; Quinn, Anthony
€ 132.41
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Description for The Variational Bayes Method In Signal P
Hardback. Written as a self-learning guide, this book deals with the treatment of the Variational Bayes (VB) approximation in signal processing. It reviews the VB distributional approximation, showing that tractable algorithms for parametric model identification can be generated in off-line and on-line contexts. Series: Signals and Communication Technology. Num Pages: 228 pages, 65 black & white illustrations, 11 black & white tables, biography. BIC Classification: PBT; TBJ; TJK; UYAM; UYS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 15. Weight in Grams: 526.
Gaussian linear modelling cannot address current signal processing demands. In moderncontexts,suchasIndependentComponentAnalysis(ICA),progresshasbeen made speci?cally by imposing non-Gaussian and/or non-linear assumptions. Hence, standard Wiener and Kalman theories no longer enjoy their traditional hegemony in the ?eld, revealing the standard computational engines for these problems. In their place, diverse principles have been explored, leading to a consequent diversity in the implied computational algorithms. The traditional on-line and data-intensive pre- cupations of signal processing continue to demand that these algorithms be tractable. Increasingly, full probability modelling (the so-called Bayesian approach)-or partial probability modelling using the likelihood function-is the pathway for - sign of these ... Read more
Gaussian linear modelling cannot address current signal processing demands. In moderncontexts,suchasIndependentComponentAnalysis(ICA),progresshasbeen made speci?cally by imposing non-Gaussian and/or non-linear assumptions. Hence, standard Wiener and Kalman theories no longer enjoy their traditional hegemony in the ?eld, revealing the standard computational engines for these problems. In their place, diverse principles have been explored, leading to a consequent diversity in the implied computational algorithms. The traditional on-line and data-intensive pre- cupations of signal processing continue to demand that these algorithms be tractable. Increasingly, full probability modelling (the so-called Bayesian approach)-or partial probability modelling using the likelihood function-is the pathway for - sign of these ... Read more
Product Details
Format
Hardback
Publication date
2005
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
228
Condition
New
Series
Signals and Communication Technology
Number of Pages
228
Place of Publication
Berlin, Germany
ISBN
9783540288190
SKU
V9783540288190
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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